1. Academic Validation
  2. Identification of aberrantly methylated differentially expressed genes targeted by differentially expressed miRNA in osteosarcoma

Identification of aberrantly methylated differentially expressed genes targeted by differentially expressed miRNA in osteosarcoma

  • Ann Transl Med. 2020 Mar;8(6):373. doi: 10.21037/atm.2020.02.74.
Ting-Xuan Wang 1 Wen-Le Tan 2 Jin-Cheng Huang 3 Zhi-Fei Cui 1 Ri-Dong Liang 4 Qing-Chu Li 5 Hai Lu 1
Affiliations

Affiliations

  • 1 Department of Orthopedics, The Fifth Affiliated Hospital of Sun Yat-sen University, Sun Yat-sen University, Zhuhai 519000, China.
  • 2 Department of Orthopedics, Luoding People's Hospital, Luoding 527200, China.
  • 3 Department of Orthopedics, Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, People's Hospital of Henan University, Zhengzhou 450003, China.
  • 4 Department of Orthopedics, Southern Medical University Affiliated Nanhai Hospital, Southern Medical University, Foshan 523800, China.
  • 5 Department of Orthopedics, The Third Affiliated Hospital of Southern Medical University, Academy of Orthopedics, Southern Medical University, Guangzhou 510000, China.
Abstract

Background: Osteosarcoma (OS) is the most common primary bone tumors diagnosed in children and adolescents. Recent studies have shown a prognostic role of DNA methylation in various cancers, including OS. The aim of this study was to identify the aberrantly methylated genes that are prognostically relevant in OS.

Methods: The differentially expressed mRNAs, miRNAs and methylated genes (DEGs, DEMs and DMGs respectively) were screened from various GEO databases, and the potential target genes of the DEMs were predicted by the RNA22 program. The protein-protein interaction (PPI) networks were constructed using the STRING database and visualized by Cytoscape software. The functional enrichment and survival analyses of the screened genes was performed using the R software.

Results: Forty-seven downregulated hypermethylated genes and three upregulated hypomethylated genes were identified that were enriched in cell activation, migration and proliferation functions, and were involved in cancer-related pathways like JAK-STAT and PI3K-AKT. Eight downregulated hypermethylated tumor suppressor genes (TSGs) were identified among the screened genes based on the TSGene database. These hub genes are likely involved in OS genesis, progression and metastasis, and are potential prognostic biomarkers and therapeutic targets.

Conclusions: TSGs including PYCARD, STAT5A, CXCL12 and CXCL14 were aberrantly methylated in OS, and are potential prognostic biomarkers and therapeutic targets. Our findings provide new insights into the role of methylation in OS progression.

Keywords

Osteosarcoma (OS); bioinformatics; methylation; miRNA; tumor suppressor gene (TSG).

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